{"id":"W4388170500","doi":"10.1016/j.cemconres.2023.107355","title":"Mechanical performance of oil-well cement slurries cured and tested under high-temperatures and high-pressures for deep-well applications","year":2023,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Slurry; Cement; Materials science; Geotechnical engineering; Oil well; Composite material; Petroleum engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002227122,0.000289347,0.0002212668,0.0002168577,0.0001999747,0.0001745051,0.0001916212,0.0002765196,0.002512585],"category_scores_gemma":[0.0005208461,0.0001804695,0.000171235,0.0002686111,0.0001955561,0.0002757401,0.0001399932,0.0003137136,0.0003148849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677818,"about_ca_system_score_gemma":0.0002655878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782067,"about_ca_topic_score_gemma":0.005375038,"domain_scores_codex":[0.9997899,0.00001574066,0.00001762473,0.00003514687,0.00009620625,0.00004541208],"domain_scores_gemma":[0.9996092,0.0001112911,0.0000616604,0.00002253237,0.0001214135,0.00007394535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004036285,0.00002887395,0.000787666,0.00003629872,0.000004924755,0.00003912342,0.00004201768,0.0003592875,0.9970093,0.00001917855,0.00002592412,0.001243799],"study_design_scores_gemma":[0.00001299565,0.0009171893,0.01517609,0.000003215373,0.00001152631,0.00003223244,0.0001003587,0.001088152,0.9820929,0.00001465106,0.0005402247,0.00001058489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989941,0.0001478813,0.0003401099,0.00001139643,0.000007912808,0.000004273968,0.0001425316,0.00001500386,0.0003368853],"genre_scores_gemma":[0.9982645,0.00008396358,0.0003536309,0.000006050499,0.00000192297,0.000003463482,0.0001649799,0.00001116115,0.001110367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002512585,"threshold_uncertainty_score":0.008405387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616301125472132,"score_gpt":0.2766338653650118,"score_spread":0.2504708541102905,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}